{"id":13394,"date":"2024-02-06T06:43:41","date_gmt":"2024-02-06T11:43:41","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13394"},"modified":"2025-11-18T03:17:46","modified_gmt":"2025-11-18T08:17:46","slug":"2024-data-engineering-trends","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/2024-data-engineering-trends\/13394\/","title":{"rendered":"2024 Data Engineering Trends"},"content":{"rendered":"Originally published in Kestra, Jan 24, 2024. Doing More with Less The tech industry in 2024 is under pressure to optimize resources. Technology and data leaders are asked to integrate more data to support new AI-driven features while simultaneously being forced to reduce costs and headcount. Judging by the recent layoffs at a.o. Google, Amazon, Meta, Twitch, Spotify, and Discord, even the largest tech companies are not immune to this trend toward increased efficiency. The Impact of AI on Layoffs vs. Economic Factors The growing capabilities of LLMs are reshaping the job market, and the data space is <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/2024-data-engineering-trends\/13394\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Kestra, Jan 24, 2024. Doing More with Less The tech industry in 2024 is under pressure to optimize resources. Technology and data leaders are asked to integrate more data to support new AI-driven features while simultaneously being forced to reduce costs and headcount. Judging by the recent layoffs at a.o. Google, Amazon, [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,537,1268,243,1342],"class_list":["post-13394","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-data-engineering","tag-llm","tag-machine-learning","tag-platform-engineering"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13394"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13394\/revisions"}],"predecessor-version":[{"id":13395,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13394\/revisions\/13395"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13394"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}